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Duration 35 hours
Course Outline
Introduction
Stata and Big Data
- Overview of Stata.
- Stata syntax and command structures.
R Programming
- Introduction to R.
- R syntax and code structure.
Setting Up the Development Environment
- Installation and configuration of Stata.
- Installing and configuring R libraries and frameworks.
Integrating R and Stata
- Reading from and writing to Stata files using R.
Managing Databases and Data in Stata
- Opening and managing database sessions.
- Compressing database files.
- Importing and exporting data from databases.
- Inspecting, describing, and summarizing raw data.
- Utilizing tabulations and statistical tables.
- Implementing variables for data manipulation.
Descriptive and Predictive Analysis
- Conducting distributional analysis.
- Performing Monte Carlo simulations.
- Analyzing count data.
- Applying survival analysis techniques.
Hypothesis Testing
- Testing and comparing statistical means.
Visualization in Stata
- Creating plots, charts, and graphs.
- Incorporating statistical analysis into visual outputs.
- Styling and combining multiple graphs.
Regression Modeling with R
- Applying bivariate correlation and regression.
- Working with OLS regression, logistic, and probit models.
- Incorporating interactive effects in regression models.
Summary and Conclusion
Requirements
- Foundational knowledge of data analysis principles.
Intended Audience
- Data Analysts.
Testimonials (1)
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